Do you really know Cohort Analysis?

To begin with the topic, I've added a poll here to understand whether Cohort Analysis is popular or not, you could click to the end and vote for it first!

App cohort analysis is a kind of user behavioral analytics that breaks app users in a data set into related groups before jumping into the analysis. These groups are called cohorts and usually share common characteristics or experiences in an app within a defined time span.

To put it plainly, app cohort analysis divides its users into different groups based on their similarities or behaviors inside the app over a certain period of time. In this way, app marketers can visualize and compare users' journeys of different groups inside the app in a clearer way. Accordingly, they can take targeting measures for different cohorts to prolong their LTV by preventing users from leaving at critical moments.

5 Types of Cohort Analysis for Apps

There can be tremendous types of cohort analysis depending on what significant issues are to be analyzed in different apps. For apps, there are at least five major types of cohort analysis to be considered:

Acquisition Cohorts: Acquisition cohorts divide users into different groups by their acquisition channel. Check the subscription rate and revenue of different cohorts so as to find out what the most effective acquisition channels are.

Behavioral Cohorts: Divide users by the actions they have taken or not taken in the app within a time frame. There can be lots of behaviors in the app, such as installation, subscriptions, unsubscriptions, etc.

Segment-Based Cohorts: Doing cohorts based on user segments allows app marketers to classify cohorts flexibly, which helps identify which segment of users brings the largest revenue. Find out the crucial moment when a group of users tends to leave and take methods to prevent that.

Demographic Cohorts: Divide users by their age or location and analyze the critical metric that is most important for app growth. It helps app marketers to better know where their most potential marketplace is and what kind of users to target.

Technographic Cohorts: Technographic cohorts mostly divide users by the devices or platforms they are using to access the apps. Studying revenue from these different devices may show some technical issues that are keeping users from paying.

How to Perform Cohort Analysis in an Automatic Way？

Different analysis tools have different metrics for cohort analysis. For example, appflow.ai offer cohort metrics specialized for subscription apps, such as installs, subscriptions, countries, segments, acquisition channels, etc.
Doing cohort analysis is simple with such a tool. Just choose the metric and what you want to compare, then the table with highlights will be presented where you can directly study on.

Click to view more about App Cohort Analysis